BioCentury
Extracting Structured Information from Texts
We used large language models (LLMs) to create APIs that extract rich information from raw texts in diverse domains, such as biochemistry, medicine, customer support, marketing, and advertisement.
Our system achieved state-of-the-art results in Named Entity Recognition (NER), transforming complex and dense documents into organized and actionable data points. This groundbreaking approach not only streamlined the extraction process but also drastically reduced the manual effort traditionally needed for reviewing such specialized documents.